![]() Learn more about GPU-accelerated applications available for astronomy, biology, chemistry, physics, data mining, manufacturing, finance, and more on the software solutions page. ![]() ![]() Since its introduction in 2006, CUDA has been widely deployed through thousands of applications and published research papers, and supported by an installed base of over 300 million CUDA-enabled GPUs in notebooks, workstations, compute clusters and supercomputers. CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU).
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